To investigate associations between genetic, linguistic, and geographic variation in Africa, we type 50 Y chromosome SNPs in 1122 individuals from 40 populations representing African geographic and linguistic diversity. We compare these patterns of variation with those that emerge from a similar analysis of published mtDNA HVS1 sequences from 1918 individuals from 39 African populations. For the Y chromosome, Mantel tests reveal a strong partial correlation between genetic and linguistic distances (r ¼ 0.33, P ¼ 0.001) and no correlation between genetic and geographic distances (r ¼ À0.08, P40.10). In contrast, mtDNA variation is weakly correlated with both language (r ¼ 0.16, P ¼ 0.046) and geography (r ¼ 0.17, P ¼ 0.035). AMOVA indicates that the amount of paternal among-group variation is much higher when populations are grouped by linguistics (U CT ¼ 0.21) than by geography (U CT ¼ 0.06). Levels of maternal genetic among-group variation are low for both linguistics and geography (U CT ¼ 0.03 and 0.04, respectively). When Bantu speakers are removed from these analyses, the correlation with linguistic variation disappears for the Y chromosome and strengthens for mtDNA. These data suggest that patterns of differentiation and gene flow in Africa have differed for men and women in the recent evolutionary past. We infer that sex-biased rates of admixture and/or language borrowing between expanding Bantu farmers and local hunter-gatherers played an important role in influencing patterns of genetic variation during the spread of African agriculture in the last 4000 years.

Collagen type I alpha 1 (COL1a1), which encodes the primary subunit of type I collagen, the main structural and most abundant protein in vertebrates, harbors hundreds of mutations linked to human diseases like osteoporosis and osteogenesis imperfecta. Previous studies have attempted to predict the phenotypic severity associated with type I collagen mutations, yet an evolutionary analysis that compares historical and recent selective pressures, including across noncoding regions, has never been conducted. Here, we use a comparative genomic and species evolutionary analysis representing ∼450 My of vertebrate history to investigate functional constraints associated with both exons and introns of the >17-kb COL1a1 gene. We find that although the COL1a1 amino acid sequence is highly conserved, there are both spatial and temporal signatures of varying selective constraint across protein domains. Furthermore, sites of high evolutionary constraint significantly correlate with the location of disease-associated mutations, the latter of which also cluster with respect to specific severity classes typically categorized in clinical studies. Finally, we find that COL1a1 introns are significantly short in length with high GC content, patterns that are shared across highly diverged vertebrates, and which may be a signature of strong stabilizing selection for high COL1a1 gene expression. In conclusion, although previous studies focused on COL1a1 coding regions, the current results implicate introns as areas of high selective constraint and targets of bone-related phenotypic variation. From a broader perspective, our comparative evolutionary approach provides further resolution to models predicting mutations associated with bone-related function and disease severity.

The LPR and STin2 polymorphisms of the serotonin transporter gene (SLC6A4) were combined into haplotypes that, together with quality of maternal parenting, were used to predict initial levels and linear change in children’s (N = 138) noncompliance and aggression from age 18 –54 months. Quality of mothers’ parenting behavior was observed when children were 18 months old, and nonparental caregivers’ reports of noncompliance and aggression were collected annually from 18 to 54 months of age. Quality of early parenting was negatively related to the slope of noncompliance only for children with the LPR-S/STin2-10 haplotype and to 18-month noncompliance only for children with haplotypes that did not include LPR-S. The findings support the notion that SLC6A4 haplotypes index differential susceptibility to variability in parenting quality, with certain haplotypes showing greater reactivity to both supportive and unsupportive environments. These different genetic backgrounds likely reflect an evolutionary response to variation in the parenting environment.

Recombination is expected to reduce the effect of selection on the extent of linkage disequilibrium (LD), but the impact that recombinational hotspots have on sites linked to selected mutations has not been investigated. We empirically determine chromosomal linkage phase for 5.2 kb spanning the beta -globin gene and hotspot. We estimate that the HbC mutation, which is positively selected because of malaria, originated <5,000 years ago and that selection coefficients are 0.04-0.09. Despite strong selection and the recent origin of the HbC allele, recombination (crossing-over or gene conversion) is observed within 1 kb 5' of the selected site on more than one-third of the HbC chromosomes sampled. The rapid decay in LD upstream of the HbC allele demonstrates the large effect the ss-globin hotspot has in mitigating the effects of positive selection on linked variation.

No abstract